4 papers
Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios
Adam Dziedzic, Vanlin Sathya, Muhammad Iqbal Rochman +2
The application of Machine Learning (ML) techniques to complex engineering problems has proved to be an attractive and efficient solution. ML has been successfully applied to sever…
Machine Learning based detection of multiple Wi-Fi BSSs for LTE-U CSAT
Vanlin Sathya, Adam Dziedzic, Monisha Ghosh +1
According to the LTE-U Forum specification, a LTE-U base-station (BS) reduces its duty cycle from 50% to 33% when it senses an increase in the number of co-channel Wi-Fi basic serv…
Interference Management in UAV-assisted Integrated Access and Backhaul Cellular Networks
Abdurrahman Fouda, Ahmed S. Ibrahim, Ismail Guvenc +1
An integrated access and backhaul (IAB) network architecture can enable flexible and fast deployment of next-generation cellular networks. However, mutual interference between acce…
Association fairness in Wi-Fi and LTE-U coexistence
Vanlin Sathya, Morteza Mehrnoush, Monisha Ghosh +1
In this paper we address the issue of association fairness when Wi-Fi and LTE unlicensed (LTE-U) coexist on the same channel in the unlicensed 5 GHz band. Since beacon transmission…